Publications citing MIMIC-CXR Database v2.1.0

FedXAI: Federated Medical Imaging with Intrinsic Explainability and Differentially Private Explanation Auditing
M A Rahman. Machine Learning, 2026. Cites: paper

Blank-Image Ablations Can Mislead: A Mismatched-Image Control for Visual-Requirement Audits in Medical-VQA—Evidence from ERA-TurkMed, A Turkish Generative System
Esra Balık, Mehmet Kaya. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

Vision–language foundation models for multimodal medical image understanding and report generation: a narrative review with quantitative synthesis
Shahid Mehmood, Farman Matloob Khan, Abeer A. K. Alharbi et al. Frontiers in Medicine, 2026. Cites: paper

Context-Dependent Effects of Lung Segmentation Preprocessing on Radiology-Report-Derived Pneumonia Classification in Chest Radiographs: A Comparative Study Across Acquisition Settings and Backbone Architectures
Jihong Min, Jung Wan Park, Nak-Jun Sung et al. Bioengineering, 2026. Cites: paper

Curriculum-guided adaptive representation decoupling for multimodal semi-supervised chest disease classification
Suli Wang, ShengYong Ding. Medical & Biological Engineering & Computing, 2026. Cites: paper

Retrieval-augmented generation in biomedicine: a survey of technologies, datasets, and clinical applications
Jiawei He, Boya Zhang, Hossein Rouhizadeh et al. Artificial Intelligence Review, 2026. Cites: paper

Expose-then-Use: Multi-label Medical Model Extraction via Victim-Induced Label Structure
Chuyang Ma, Liu Yali, Jianting NING. Lecture notes in computer science, 2026. Cites: paper

Object Detection in Computer Vision: A Comprehensive Review of Algorithms, Datasets, and Evaluation Techniques
Md. Faishal Rahaman, Li Xueyuan, Md Nagib Mahfuz Sunny et al. Sensors, 2026. Cites: paper

WaveCAF: A Wavelet–Spatial Cross-Attention Fusion Network for Robust and Data-Efficient Pneumonia Detection in Chest X-Rays
Houmem Slimi, Ala Balti, Mohamed Moncef Ben Khelifa. Signals, 2026. Cites: paper

Concept-Aware Knowledge Grounding for Explainable Abstractive Radiology Report Summarization: A Functional Verification of KG-BioBART
Esraa Najjar, Mohammed Hasan Abdulameer. VFAST Transactions on Software Engineering, 2026. Cites: paper

An all-in-one foundation model for multimodal medical image restoration and enhancement
Luyang Cao, Zhijian Wu, Jian Zhang et al. Nature Machine Intelligence, 2026. Cites: paper

Mitigating Domain Shift and Dataset Bias in Deep Learning Models for Cancer Diagnostics
Samuel Arthur Ameyaw, Johnson Addo Ameyaw. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

A SAM2 and VLM-Based Automatic Radiological Reporting System for Pneumothorax Detection
Savaş Tunçer, Mustafa Yıldırım, Özal Yıldırım. Biomedicines, 2026. Cites: paper

CheXPO-v2: Preference optimization for chest X-ray VLMs with knowledge graph consistency
Yuxuan An, Xiao Liang, Di Wang et al. Pattern Recognition, 2026. Cites: paper

Medical Vision Foundation Models: A comprehensive review from technical evolution to clinical translation
Nengjian Lin, Yi Ding, Zhen Qin et al. Computerized Medical Imaging and Graphics, 2026. Cites: paper

CXR-CoRe: Two-Stage View- and Section-Aware Study-Level Chest X-ray Report Retrieval
Yan Tian, Jianbing Ma. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

LiteMedRAG: Selective Retrieval-Augmented Compact Medical Visual Question Answering
Daniel Ayo Oladele, Malusi Sibiya. Lecture notes in computer science, 2026. Cites: paper

R3-Gen: Enhancing medical report generation with reasoning-reinforced fine-tuning
Ting Xiao, Yixing Qiu, Haofeng Yang et al. Pattern Recognition, 2026. Cites: paper

Detectable, Task-Relevant, or Harmful? Construct-Valid Evaluation of Unlabeled Distribution-Shift Monitoring in Chest Radiography
Dan Gabriel Badea, Răzvan-Andrei Rotaru, Razvan Victor Rughinis et al. Journal of Imaging, 2026. Cites: paper

Hyper-DSCNet: Integrating radiographic details and syndromic context via hypergraph-enhanced dual-stream learning for chest X-ray lesion detection
Yu Wang, Lin Jin, Peiyin Chen et al. Expert Systems with Applications, 2026. Cites: paper

Algorithmic Bias in AI-Based Diagnostic Models: A Systematic Review and Lifecycle Framework for Fairness Auditing and Governance in Healthcare
Reyadh Alluhaibi. Healthcare, 2026. Cites: paper

Benchmarking Vector Quantized Auto-Encoders for Multimodal Vision-Language Tokenization of Medical Images
Emilio Dolgener Cantú, Manasi Acharya, Jim Berend et al. Companion Publication of the International Conference on Multimodal Interaction (ICMI Companion), 2026. Cites: paper

From artificial intelligence promise to translational practice in drug discovery: Reproducibility, validation and evidence-based implementation
Amit Gangwal, Antonio Lavecchia. Drug Discovery Today, 2026. Cites: paper

MDeID: A dataset for multilingual medical de-identification
Risha Surana, Rodolfo Quispe, Alistair E. W. Johnson et al. Journal of Biomedical Informatics, 2026. Cites: paper

Multidimensional Evaluation Framework for Local LLM-Based Clinical Summarization: A Cross-Lingual Prototype on Multi-Modality PACS-Derived Imaging Reports
Luis Vera, Olga Craveiro, Ricardo Malheiro et al. Machine Learning and Knowledge Extraction, 2026. Cites: paper

Quality-Gated CycleGAN with Frequency-Split Composition for Structure-Constrained Contrast-Like Enhancement of Non-DICOM Chest CT: External Feasibility and Implications for Pulmonary Embolism AI
Sang-Hyeon Gill, Hyun Young Choi, Yu-Seop Kim. Bioengineering, 2026. Cites: paper

CardioCLIP: sequential multimodal prediction of echocardiographic abnormalities and natriuretic peptide elevation from electrocardiogram and chest radiographs
Satoki Shibata, Makoto Nishimori, Y Nishihara et al. European Heart Journal - Digital Health, 2026. Cites: paper

Artificial intelligence for pneumonia diagnosis: a systematic review of multimodal learning, fusion strategies, and explainability
K. G. Sruthy, T M Navamani. Frontiers in Digital Health, 2026. Cites: paper

MedVisionEx: A Data-Information-Knowledge-Wisdom (DIKW) Hierarchy Inspired, Retrieval-Augmented and Knowledge-Graph-Grounded Pipeline for Explainable Medical Visual Question Answering
Nadeesha Perera, Alli Raittinen, Jyrki Nummenmaa et al. Communications in computer and information science, 2026. Cites: paper

A Clinician-Configurable FAHP-Based Ensemble Framework for Multi-Label Chest X-Ray Classification
Hui‐Chu Chiu, Yu-Hsiang Tsai, Cheng‐Hsuan Juan et al. Diagnostics, 2026. Cites: paper

Faithful, Interpretable Chest X-ray Diagnosis with Artifact-Free B-cos Networks
Shreyash Arya, Shashank Agnihotri, Marcel Kleinmann et al. Lecture notes in computer science, 2026. Cites: paper

TraceCXR: Verifiable Chest X-Ray Reports via Evidence-Addressable Graph Prompting
Hang Dong, Chao Sun, Hao Yan et al. Lecture notes in computer science, 2026. Cites: paper

Wavelet-Enhanced Coarse-to-Fine Radiology Report Generation with Large Language Models
Shuanghong Yang, Yan Deng, Qibing Qin et al. Lecture notes in computer science, 2026. Cites: paper

CancerVerse: A Fully Open Longitudinal and Multimodal Dataset for Multicancer Screening
Wenxuan Li, Pedro R. A. S. Bassi, Xinze Zhou et al. Lecture notes in computer science, 2026. Cites: paper

CXRMate-2: Structured multimodal temporal embeddings and tractable reinforcement learning for clinically acceptable chest X-ray radiology report generation
Aaron Nicolson, Elizabeth J. Cooper, Hwan-Jin Yoon et al. Informatics in Medicine Unlocked, 2026. Cites: paper

Deep transfer learning-based approaches with multimodal fusion to improve the prediction of knee osteoarthritis progression: data from the OAI and MOST cohorts
Daniela Herrera, Ahmad Almhdie-Imjabbar, Nada Ibrahim-Nasser et al. Scientific Reports, 2026. Cites: paper

MedEnv: Scaling Multimodal Virtual Medical Environments for Long-Horizon Diagnosis
Zhiting Fan, Xuxiang Ren, Yuan Wang et al. Lecture notes in computer science, 2026. Cites: paper

Reference-Guided Gradient Balancing Loss for Long-Tailed Multi-label Medical Image Classification
Ying-Chih Lin, Hsiao-Chu Peng, Po‐Chih Kuo et al. Lecture notes in computer science, 2026. Cites: paper

Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation
Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby et al. Lecture notes in computer science, 2026. Cites: paper

The Learnability Gap in Medical Latent Diffusion
Mischa Dombrowski, Felix Nützel, Bernhard Kainz. Lecture notes in computer science, 2026. Cites: paper

Towards Class-Aware Semantic Decoupling in Multi-modal Disease Diagnosis with Missing Modalities
Feixiang Zhou, Jianyang Xie, Zhuangzhi Gao et al. Lecture notes in computer science, 2026. Cites: paper

A comprehensive review of AI-based approaches for lung disease classification using chest X-ray images
Yosra Didi, Ahlem Walha, Ali Wali. Multimedia Tools and Applications, 2026. Cites: paper

Bidirectional Anatomy-Aware Post-Training for Longitudinal Chest X-Ray Progression Modeling
Yuming Chen, Hui Wang, Minh‐Son To et al. Lecture notes in computer science, 2026. Cites: paper

Learning Directional Semantic Transitions for Longitudinal Chest X-Ray Analysis
Zhangfeng Hu, Zefan Yang, Ge Wang et al. Lecture notes in computer science, 2026. Cites: paper

LeGend: Lesion-Guided Longitudinal CXR Generation via Gaussian-Biased Causal Attention
Yiran Wang, Xiaoyu Yue, Haimei Zhao et al. Lecture notes in computer science, 2026. Cites: paper

Time-Grounded Clinical Prediction from Longitudinal Multimodal Patient Histories
Wanqi Yang, Chen Ling, Jianpeng Zhang et al. Lecture notes in computer science, 2026. Cites: paper

Mixed-source-to-institutional hospital-holdout evaluation of DICOM-aware adaptive harmonization for chest radiograph lesion detection
Abu Salam, Cinantya Paramita, Pulung Nurtantio Andono et al. Array, 2026. Cites: paper

TAD: Tail-Aware Diffusion Model for Long-Tailed Medical Image Classification
Huaqi Zhang, Zhen Zhang. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

CARE: Clinically Aligned Retrieval Evidence for Consistent Radiology Report Generation
Jintao Zhu, Yi Gu, Jiaxin Ma. Lecture notes in computer science, 2026. Cites: paper

EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound
Filippos Bellos, Yutong Li, Jessie N. Dong et al. Lecture notes in computer science, 2026. Cites: paper

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